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Matisse: a MATLAB-based analysis toolbox for in situ sequencing expression maps.

Sergio Marco SalasDaniel GyllborgChristoffer Mattsson LangsethMats Nilsson
Published in: BMC bioinformatics (2021)
Matisse proves to be a valuable tool for initial exploration of in situ sequencing datasets. The wide set of tools integrated allows for simple analysis, using the position of individual reads, up to more complex clustering and dimensional reduction approaches, taking cellular content into account. The toolbox can be used to analyze one or several samples at a time, even from different spatial technologies, and it includes different segmentation approaches that can be useful in the analysis of spatially resolved transcriptomic datasets.
Keyphrases
  • single cell
  • rna seq
  • poor prognosis
  • deep learning
  • convolutional neural network
  • binding protein
  • machine learning